Synthesis and Optimization of Mechanical Systems

Garant předmětu:

Zbyněk Šika, Michael Valášek

Lecturer:

Václav Bauma, Zbyněk Šika, Michael Valášek

Tutor:

Václav Bauma, Zbyněk Šika, Michael Valášek

Supervisor:

Department of Mechanics, Biomechanics and Mechatronics

Synopsis:

The aim is to learn how to formulate and perform machine synthesis and optimization and to use optimization methods for technical problems in machine design in general.

•Formulation of optimization problem, objective function, optimization variables, single-criterion and multi-criteria optimization.

•Basic types of local optimization methods (non-gradient, gradient, with constraint equations, penalty and barrier functions).

•Basic types of global optimization methods (Genetic algorithms - GA, Simulated annealing - SA, Particle swarm optimization - PSO and others);

•Multicriterial optimization, Pareto set

•Methods of ad hoc kinematic synthesis of mechanisms.

•Optimization problems for machine synthesis - transmission and guiding mechanisms.

•Optimization of mechanical systems - dexterity, working space, collisions.

•Optimization of dynamic properties of machines. Global dynamic problem.

•Identification of physical models using optimization methods.

•Calibration of mechanisms, optimization of calibration. Calibration using generalized least squares method.

•Optimization of controllability and observability of mechatronic systems.

•Multicriterial parametric optimization in feedback control synthesis.

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Study materials:

•Stejskal, V., Valášek, M.: Kinematics and Dynamics of Machinery, Marcel Dekker, New York 1996.

•Goldberg, D.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley 1989.

•Coello, C.A.C.: Evolutionary multiobjective optimization: current and future challenges. In: Advances in Soft

Computing—Engineering, Design and Manufacturing, pp. 243–256. Springer, Berlin, 2003.

•Engelbrecht, A. P., Fundamentals of Computational Swarm Intelligence, John Wiley & Sons, Chichester, 2005.

•Ambrosio, J. A. C., Eberhard P.: Advanced Design of Mechanical Systems: From Analysis to Optimization,

Springer 2009.

•Šika, Z.; Grešl, M.; Valášek, M.: Synthesis of Mechanisms using Evolution of Associated Dissipative Systems,

Multibody System Dynamics. 2012, 28(4), pp. 419-440.

•Valášek, M.; Šika, Z.: Evalution of Dynamic Capabilities of Machines and Robots, Multibody System Dynamics. 2001, 6(2), pp. 183-202.

Note:

Time-table for winter semester 2023/2024:

Time-table is not available yet

Time-table for summer semester 2023/2024:

Time-table is not available yet

The course is a part of the following study plans: